Posted by **happy4all** at Oct. 23, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **bookwarrior** at Aug. 5, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **tukotikko** at July 17, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **bookwyrm** at July 1, 2016

2014 | 512 Pages | ISBN: 1783284811 | EPUB + PDF | 14 MB

Posted by **tanas.olesya** at March 26, 2016

English | 25 Sept. 2014 | ISBN: 1783284811 | 512 Pages | PDF | 8 MB

Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists… Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Posted by **AlenMiler** at July 31, 2015

English | Sep. 24, 2014 | ISBN: 1783284811 | 423 Pages | EPUB/MOBI/PDF (True) | 46.86 MB

The complexity of modern data - in particular Big Data - and the demand to understand it in powerful and productive ways can make effective scientific computing one of the biggest challenges within data science and analysis.

Posted by **tanas.olesya** at April 12, 2016

English | 25 Apr. 2013 | ISBN: 1782169938 | 138 Pages | PDF/EPUB | 1/2 MB

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.

Posted by **ksveta6** at June 10, 2016

2015 | ISBN: 1783986980 | English | 200 pages | PDF/EPUB | 4 MB/4 MB

Posted by **enmoys** at Dec. 3, 2014

2013 | 138 Pages | ISBN: 1782169938 | PDF | 2 MB

Posted by **libr** at Oct. 7, 2013

English | 2013 | ISBN: 3319013416 | 130 pages | PDF | 3 MB

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read.